JP6367311B2 - User history playlists and subscriptions - Google Patents

Description

  The present description relates to the field of content sharing networks, and more particularly to playlists and subscriptions for content sharing platforms based on user history.

  Users can communicate and share information via social networks on the Internet. Many social networks include an aspect of sharing content, which enables users to upload, view, and share content such as video content, image content, audio content, and the like. Other users of the social network can write to shared content, discover new content, find updates, share content, and interact with content provided in various other ways Is possible. Shared content may also include content from professional content creators, such as movie clips, television clips, music videos, and content from amateur content creators, such as video blogs and short original movies, for example. .

  A social network capable of sharing content, such as a content sharing platform, can provide a centralized location for content owners to introduce the content. The centralized location is also known as a channel. The channel may be provided by a content sharing platform via one or more channel pages. The channel may be used by a content owner to encourage viewers to register their content. In addition, channels are provided by content owners as a centralized location for registered viewers to comment on content, find the latest updates, and discover new content from channel owners. Can be used.

  Similar to the TV and radio experience, when a user identifies a favorite channel, the user can generally watch the channel without being interrupted and deciding what to watch next. I prefer listening. In some content sharing platforms, a user can create a list of favorite media items and the user can create a playlist for automatic playback without interruption. However, generation of such a playlist is a manual operation, and understanding and execution thereof requires time and resources.

  In the following, a simplified overview is provided to provide a basic understanding of some aspects of the specification. This is not an extensive overview of the specification. It is not intended to identify key or critical elements of the specification, nor is it intended to describe the scope of specific embodiments or the claims of the specification. Its sole purpose is to provide some concepts in a simplified form as a prelude to the more detailed description that is discussed later.

  In one embodiment, a method for generating a playlist and subscription for a content sharing platform based on a user history is described. The method includes identifying one or more entities that the user has not registered with the content sharing platform, providing a user interface (UI) associated with the user, and one or more identified Displaying a plurality of entities as recommended proposals to the user via the UI and receiving an indication of the selection of one entity among the one or more entities identified by the user via the UI Generating a subscription for the selected entity for the user on the content sharing platform; generating a playlist for the user using the content item associated with the registered entity; , U associated with the user Providing the playlist on I.

  In one embodiment, the identified entity or entities are identified based on at least one of the user's current channel subscription or the user's activity history on the content sharing platform. Also, the step of identifying one or more entities of the method may be that an entity associated with an activity history content item occurs in a user's activity history beyond a predetermined number of occurrences over a certain interval. The method may further include the step of determining whether to satisfy at least one of the occurrence frequency and the occurrence frequency exceeding a predetermined occurrence frequency. In some embodiments, one or more entities each upload a content item to the content sharing platform for access by users of the content sharing platform. In other embodiments, each of the one or more entities is associated with at least one of a content sharing platform user channel and a content sharing platform topic channel.

  Furthermore, the playlist may also include a plurality of content items that are streamed without interruption to the user. The playlist may also include one or more other content items that are not associated with registered entities. The identifying features of the method include determining a content item viewed by the user and, for each content item viewed by the user, determining other content items that are co-occurring across the user of the content sharing platform. And selecting one or more entities for which the number of other content items exceeds a certain threshold.

  In one embodiment, determining other content items with co-occurrence of viewing further comprises accessing a co-occurrence data structure to identify the other content items. The data structure includes one entry for each content item of the content sharing platform, the entry including a list of other content items of the entry with viewing co-occurrence for that entry. The user may also be a member of a social network different from the content sharing platform, and the one or more entities are identified using the user's connection on the social network.

  In additional embodiments, a computing device for performing the operations of the above embodiments is also described. Further, in the embodiments of the present specification, a computer-readable recording medium stores a method for performing the operations of the above-described embodiments.

  The accompanying drawings are intended to illustrate the present invention rather than to limit it.

FIG. 1 is a block diagram illustrating an exemplary network architecture that may be used in embodiments herein. FIG. 2 is a flow diagram illustrating a method for generating recommendations for content sharing platform playlists and subscriptions based on user history, according to some embodiments herein. FIG. 3 is a flow diagram illustrating a method for generating content sharing platform playlists and subscriptions based on user history, according to embodiments herein. FIG. 4A is an example screen shot of a home page user interface that provides playlists and subscriptions for content sharing platforms based on user history, according to embodiments herein. FIG. 4B is an example screenshot of a home page user interface that provides content sharing platform playlists and subscriptions based on user history in accordance with embodiments herein. FIG. 4C is an example screen shot of a home page user interface that provides playlists and subscriptions for content sharing platforms based on user history, according to embodiments herein. FIG. 5 is a block diagram illustrating a representative computer system, according to some embodiments.

  Embodiments of content sharing platform playlists and subscriptions based on user history are described. In one embodiment, the content sharing platform uses a user's subscription and activity history to generate a playlist that is automatically generated for that user. The playlist may be promoted to the user on the user's home page or in any other user interface (eg, a GUI provided by a mobile application). A list of entities (eg, content artists such as music artists) based on the user's subscription or activity history is provided to the user. When the user selects one of these listed entities, the user is connected to an automatically generated entity without user interaction (eg, a subscription) along with an automatically generated playlist generated by the selected entity. , Friend requests, likes, etc.). In one embodiment, the playlist includes content items from similar entities along with content items from entities.

  In one embodiment, the methods herein include identifying one or more entities of a content sharing platform that a user has not registered over at least one channel, and a user associated with the user. Providing an interface (UI), the UI displaying one or more entities identified as suggestions recommended to the user. The method further includes receiving an indication of selection of the identified one or more entities by the user via the UI. The method also includes generating a subscription for the channel associated with the selected entity on the content sharing platform for the user. The method includes generating a playlist for a user using a content item associated with a selected entity, wherein the playlist is not associated with the selected entity. Including other content items and providing the playlist on a UI associated with the user.

  The embodiments herein have different accuracy than conventional solutions for finding and consuming content on a content sharing platform. In the past, it was possible to play back content one by one from a channel registered by the user, and when each item was completed, it was necessary to decide which content item to see next. As a result, the frequency of judgment and interaction in the content sharing platform in a short period of time increases, and the user experiences dissatisfaction and dissatisfaction with the content sharing platform. Embodiments herein provide automatic playlists for users based on user subscriptions and activity history, and also provides automatic subscriptions for users, users and content By improving the integration with the shared platform, the need for such frequent decisions is eliminated and the above disadvantages are eliminated.

  FIG. 1 is a block diagram illustrating an exemplary network architecture 100 in which embodiments herein may be used. The network architecture 100 includes a client device 105 that is communicatively connected to a content sharing platform 107 via a network 102. In some embodiments, content sharing platform 107 is also known as a content sharing platform. In one embodiment, the network 102 includes the Internet. In other embodiments, other wireless and wired networks such as an intranet, local area network (LAN), wide area network (WAN), or broadcast network may also be used as or as part of the network 102.

  The content sharing platform 107 is a social network that allows users to communicate with each other and share content items. Many social networks include a content sharing aspect that allows a user to upload, view, tag, and share content such as video content, image content, audio content, and the like. Other users of the social network can write to shared content, discover new content, find updates, share content, and interact with content provided in various other ways Is possible. Shared content includes content from professional content creators, such as movie clips, television clips, audio clips, music videos, and content from amateur content creators, such as video blogs and short original movies. May also be included. In some embodiments, the shared content is stored in the data store 150 of the content sharing platform 107.

  As shown, the content sharing platform 107 includes a front-end server 110, a recommendation engine 120, a playlist playback module 130, a user data store 140, a content data store 150, a co-occurrence data store 160 (co -occurrence data sore). A data store may include, but is not limited to, tables, databases, directories, repositories, and one or more files, to name a few.

  The content sharing platform 107 can be executed in a single server device or on a plurality of server devices. For example, in FIG. 1, front end server 110, recommendation engine 120, playlist playback module 130, user data store 140, content data store 150, and co-occurrence data store 160 are each illustrated as a single different component. However, these components may be implemented together in a single device or networked in various combinations of different devices that cooperate. Non-limiting examples of devices can include servers, mainframe computers, networked computers, process-based devices, and similar systems or devices.

  One or more client devices 105 may be in communication with the front end server 100 over the network 102. The client device 105 can be any type of computing device including, for example, a processor, a computer readable recording medium, and a storage device. The client device 105 can be, for example, a personal computer, a notebook computer, a tablet computer, a personal digital assistant (PDA), a mobile phone, other mobile devices, and the like. In some embodiments, the client device 105 is adapted to communicate through browser applications or Internet related protocols (eg, TCP / IP and HTTP) and / or to display a user interface. Can run any application. Although only a single client device 105 is shown in FIG. 1, the network architecture 100 can support a number of simultaneous sessions with many client devices 105.

  During operation of the network architecture 100, users can access the content sharing platform 107 via the client device 105 through the network 102. The front-end server 110 receives communications from the client device 105 and processes and / or directs according to these communications. In one embodiment, the front-end server 110 includes a processing device and a computer-readable recording device.

  In one embodiment, the client device 105 may execute an operating system (not shown) that manages the hardware and software of the client device 105. A browser (not shown) may run on the client device 105 (eg, the operating system of the client machine). The browser can access content provided by the content sharing platform 107 by navigating to a web page provided by the content sharing platform 107 (eg, using Hypertext Transfer Protocol (HTTP)). It can be a web browser. The browser issues a query or command, such as a command for accessing a specific content item, a command for sharing a content item, a command for optimizing the content item, to the content sharing platform 107. obtain.

  In some embodiments, client device 105 includes an application associated with a service provided by content sharing platform 107. Examples of client devices that can use such applications (“apps”) include mobile phones, “smart” TVs, tablet computers, and the like. The application or application accesses the content provided by the content sharing platform 107 without issuing a web page of the content sharing platform 107, issues a command to the content sharing platform 107, or from the content sharing platform 107. The content can be received.

  The client device 105 can access content items provided by the content sharing platform 107 via an app or a browser. In one embodiment, the content item is provided as a channel or other content source that the user can subscribe to. The user can select a content item for viewing via an application or a browser. The application or browser of the client device 105 can receive content items held by the content sharing platform 107. Further, the client device 105 may upload content items to the content sharing platform 107 for storage in a repository such as the content data store 150, etc. via the app or browser.

  In general, functions described to be performed by the content sharing platform 107 in one embodiment may also be performed on the client device 105 in other embodiments, if appropriate. In addition, a function by a specific component may be executed by another component or a plurality of cooperating components. The content sharing platform 107 is not limited to use on a website because it can also be accessed as a service provided to other systems or devices through an appropriate application programming interface.

  In one embodiment, the content sharing platform 107 provides a centralized location where the user can introduce objects related to the user, such as information and content related to the user. In one embodiment, the object is written, content item (eg, audio, video, image), comment, message, email message, status update, preference indication (eg, likes!). ), Subscription events, tagging events, viewing events (eg, clicks), and the like. The centralized location is known as a user page or channel. Further, the representation of users on the content sharing platform 107 is also called an “entity”.

  As described above, channels may be data content that has common topics or themes as well as data content that can be obtained from common sources. The data content includes media content selected by the user, media content made available by the user, media content uploaded by the user, media content selected by the content provider, content selected by the broadcasting station, and the like. It's okay. In some embodiments, the channel is created and owned by a user of the content sharing platform 107, also referred to as a user channel. In other embodiments, a channel is generated and owned by a content sharing platform to be used as a centralized location for all content associated with a topic, also referred to as a topic channel.

  The front end server 110 is communicatively connected to the recommendation engine 120 and the playlist playback module 130, and may be on the same machine as the front end server 110 or on a different machine. The recommendation engine 120 and the playlist playback module 130 may each be implemented in hardware, software, firmware, or any combination thereof.

  In embodiments herein, a new connection (eg, subscription, friend, etc.) for the user to an entity associated with the content recommendation is created, resulting in a playlist for the user (eg, seed). The recommendation engine 120 identifies the content recommendation and provides the content recommendation to the user of the content sharing platform so that it can be used for processing, initialization, etc.). A playlist that can be viewed sequentially or in a shuffled order without user interaction can be defined as a collection of one or more content items from a content sharing platform entity. In one embodiment, the recommendation engine 120 includes a recommendation module 122, a UI generation module 124, and a subscription module 126.

  When the user accesses the content sharing platform 107, the user is moved to the user's home page or another GUI representing the user's home page. The home page may include a recommendation UI generated by the recommendation engine 102. In one embodiment, the recommendation UI includes one or more entities of the content sharing platform 107 identified by the recommendation module 122 based on the user's current subscription and / or user activity history. A subscription may include connections between users and other entities on the content sharing platform. In some embodiments, the subscription applies to the entity for a friend request, like the entity! Including, following an entity, etc. In this specification, reference is made to the term subscription, but other terms implying a connection between a user and an entity of the content sharing platform are also encompassed.

  The recommendation module 122 can access the user subscription data store 140 to identify all subscriptions for the user. The user subscription may include a user channel subscription and a topic channel subscription of the content sharing platform 107. Also, an activity history that can be maintained in the user data store 140 can be accessed to identify the user's content preferences. The activity history is better for content items that have been viewed by the user and more for the user! Content items attached, playlists manually generated by the user, connections from other social networks outside the content sharing platform 107, showing user preferences, and the like.

  Based on either one or both of existing user subscriptions and user activity history, the recommendation module 122 can determine the entities of the content sharing platform 107 that are represented by the subscriptions and / or activities. Here, the recommendation engine 122 can select one or more of the entities to be provided to the UI generation module 124 for introduction as a recommendation to the user. For example, the identified entities are ranked according to the number and frequency of user interactions, and the top X entities on this list are selected. In one embodiment, if a user is registered in both a user channel for an entity and a topic channel for the entity, that entity is recommended as one recommended by the recommendation module 122. Not selected.

  Next, for purposes of user selection, UI generation module 124 may generate a UI that is displayed on the user's home page to introduce the selected entity to the user. In one embodiment, the UI includes a document, a portion of a document, or a document set expressed in a hypertext markup language (HTML).

  When the user selects one of the recommended entities from the UI, the recommendation engine 120 performs two actions. The first action is an action in which the subscription module 126 registers the user in the topic channel and / or user channel for the entity. The second action is to pass the registered channel to the playlist generation module 130 for use as a source to generate and / or initialize a new playlist to be displayed on the user's home page. is there.

  For the first action, the subscription module 122 receives an indication of a user selection of one of the recommended entities via the provided UI. Subscription module 122 may then determine which channels (ie, users and / or topics) for which the user does not have a subscription to the entity. The subscription module then creates a subscription for the user to the topic and / or user channel of the selected entity that is not registered with the user. This subscription is then displayed to the user on the user's home page as one of the user's current subscriptions. Subscription information may also be stored in the user data store 140.

  For the second action, the recommendation engine 120 may pass the selected entity to the playlist generation module 130 via, for example, the subscription module 126. In one embodiment, the playlist generation module 130 accesses the content data store 150 to select one or more content items associated with an entity for use as a source to initialize the playlist. It can be an application programming interface (API) or a servlet configured as follows. In other embodiments, the playlist generation module 130 may be a server device configured to perform the above tasks. The playlist may include content items generated by entities similar to the entity as well as content items generated by the entity. For example, the playlist generation module 130 references the co-occurrence data store and identifies one or more content items that have a high co-occurrence rate for the content items of the entity used to initialize the playlist. And one or more of these identified content items can be selected to be included in the generated playlist.

  When the playlist is generated, the playlist generation module 130 may provide the playlist to the user on the user's home page via the UI. In one embodiment, playlist generation module 130 may cooperate with UI generation module 122 to provide a playlist. In other embodiments, the playlist generation module provides playlists using its own UI generation logic. While viewing the generated playlist content item, the user can access and register other entities associated with the playlist content item. For example, when a content item of the playlist is displayed during playback of the playlist, an entity associated with the content item is displayed next to the icon and / or description of the currently playing content item of the playlist in the UI. An icon or link for registering can be provided.

  In some embodiments, a generated playlist (eg, a playlist object including a source content item identifier, user identifier, number of videos, etc.) is associated with the identifier and the content sharing platform 107 data store. (Not shown). As a result, the generated playlist continues to be displayed on his homepage when the user visits later.

  When the system described herein collects or uses personal information about the user, the program or its function may be responsible for user information (eg, user's social network, social behavior or activity, occupation, user's Opportunities to control whether or not to collect information about preferences, current location, etc., or to manage whether and / or how to receive content more relevant to the user from the content server, Is given to the user. Further, certain data may be processed by one or more means before being stored or used so that personally identifiable information is deleted. For example, if the user's identity can be processed so that no personally identifiable information can be determined for a user, or if the information is obtained so that the user's specific location is not fixed, The user's geographic location can be generalized (eg, down to the city, postal code, or state level). Therefore, the user can manage how to collect information about the user and how it is used by the content server.

  FIG. 2 is a flow diagram illustrating a method 200 for generating playlists and subscription recommendations for a content sharing platform based on user history, according to some embodiments herein. The method 200 may include hardware (eg, electrical circuitry, dedicated logic, programmable logic, microcode, etc.), software (eg, instructions executed on a processing device to perform a hardware simulation), or Can be implemented by processing logic including a combination of

  For simplicity of explanation, the methods herein are shown and described as a series of acts. However, the operations herein are performed in various orders and / or simultaneously with other operations not further introduced or described herein. Moreover, not all illustrated acts may be required to implement a methodology as described. Further, those skilled in the art will understand and appreciate that the method can alternatively be represented as interrelated states via state diagrams or events. Furthermore, it should be appreciated that the methods described herein may alternatively be stored in a product for facilitating transmission or transfer of the method to a computing device. As used herein, the term “product” is intended to encompass a computer program accessible from any computer-readable device or recording medium. In one embodiment, the method 200 may be performed by the recommendation engine 120 of the content sharing platform 107, as illustrated in FIG.

  Referring to FIG. 2, at block 210, the method 200 begins when the recommendation engine determines that the user is accessing a home page or other GUI associated with the user on the content sharing platform. In one embodiment, the front engine server may send a signal of the access by the user to the recommendation engine. Next, at block 220, the user's current subscription entity is identified. In one embodiment, a user data store that maintains user subscription information for each user may be referenced to identify the subscription and its associated entity on a content sharing platform. A subscription to an entity is generated by the content sharing platform and a user channel subscription generated and possessed by the entity to collect all content associated with the entity on the content sharing platform Both topic channel subscriptions may be included (not necessarily generated by the entity).

  Next, at block 230, one or more entities are identified from the user's activity history. The activity history is a content item that was previously viewed by the user, and is better for the user! It may include history such as attached content items, playlists manually generated by the user, and connections from other social networks outside the content sharing platform showing user preferences. The entities associated with these content items may be determined, for example, through a search for the content item and an associated creator. In some embodiments, for those determined entities such that occurrences in the user's activity history exceed a predetermined number of occurrences and / or return those entities that exceed a predetermined frequency of occurrence. A filter can be applied. This filter may be applied over the entire range of the user's activity history or in a predetermined time interval of the user's activity history. In one embodiment, the system administrator of the content sharing platform may establish a configuration for identifying entities from the activity history.

  At block 240, identified entities registered by the user via user channels and / or topic channels associated with the entity are removed from consideration. Thereafter, at block 250, the remaining identified entities are ranked according to at least one of the number and / or frequency of access by the user. Next, at block 260, a predetermined number of top ranked entities are selected by the recommendation engine. If the number of ranked entities is less than the predetermined number, all ranked entities may be selected.

  Finally, at block 270, the selected entity is displayed as a recommendation to recommend for the user's playlist. These selected entities may be displayed in a GUI (eg, the user's home page) associated with the user on the content sharing platform. In one embodiment, a thumbnail image of each selected entity is used as a representative of the entity in the proposed recommendation UI. In other embodiments, various combinations of descriptive text and images may be used in the proposed recommendation UI.

  FIG. 3 is a flow diagram illustrating a method 300 for generating content sharing platform playlists and subscriptions based on user history, in accordance with embodiments herein. The method 300 includes hardware (eg, electrical circuitry, dedicated logic, programmable logic, microcode, etc.), software (eg, instructions executed on a processing device to perform hardware simulation), or It can be implemented by processing logic including combinations thereof. In one embodiment, the method 300 is performed by the recommendation engine 120 and the playlist generation module 130 of the content sharing platform 107, as shown in FIG.

  Referring to FIG. 3, at block 310, the method 300 begins when a selection of suggested entity suggestions is received from a user. In one embodiment, the selection is received via a UI that provides suggestions for one or more recommending entities that the user can select to generate a playlist. For example, from the UI generated at block 270 of FIG. 2, the user can select an entity.

  At block 320, the recommendation engine determines whether the user already has a user channel subscription for the selected entity, a topic channel subscription for the selected entity, or both. In some cases, a user may have one channel subscription, but in other cases, a user may not have either channel subscription. At block 330, for a channel subscription to an entity that the user does not have, the recommendation engine creates an associated channel subscription to that entity channel for the user. In one embodiment, the recommendation engine adds the channel subscription to a user data store that maintains a subscription associated with the user.

  At block 340, the subscription indication is displayed on the user's home page on the content sharing platform. Thereafter, at block 350, one or more content items associated with the selected entity's channel (s) as the source (s) for initializing the playlist generated for the user. used. In one embodiment, the one or more content items may be accessed from a content data store of a content sharing platform. For example, the ID of a content item associated with an entity may be used as a source for playlist initialization.

  Next, at block 360, a playlist is generated using the content item (s). In one embodiment, the co-occurrence data along with the content item ID of the source item to select one or more other content items (in terms of co-occurrence viewing across the content sharing platform) associated with the source item. The store is referenced and these selected content items can be used to populate the playlist. As a result, content items associated with the selected entity as well as relevant content items associated with other entities can be provided to the user as part of the playlist without any other user interaction.

  Finally, at block 370, the UI for the generated playlist is displayed on the user's home page on the content sharing platform. In one embodiment, the playlist UI includes a description of the selected entity used to generate the playlist, a list of content items added to the playlist (and optionally each content). And a description associated with the item).

  4A, 4B, and 4C illustrate GUIs (eg, user channel GUIs or user home page GUIs) that provide playlists and subscriptions for content sharing platforms based on user history, according to embodiments herein. It is a figure which shows the example of a screenshot. With reference to FIG. 4A, an example screenshot of a GUI 400 provided to a user of a content sharing platform is illustrated. The GUI 400 may include a header part 405 that identifies the GUI. Further, the search bar 420 may be included in the GUI. The GUI 400 also includes a recommended suggestion unit 410 that can be generated as described above with respect to the method 200 of FIGS. As shown, the recommended suggestion UI 410 includes entities 411-415 that are proposed to the user based on existing user subscriptions and / or user activity history.

  The GUI 400 may also include items managed by the content sharing platform, such as sidebars 430, 450 and page content 440, and personalized based on the user. The sidebars 430 and 450 may also provide menus for navigation and shortcuts to the entire content sharing platform. In some embodiments, these sidebars are not unique to GUI 400. In one embodiment, the page content 440 may include user-specific activity feed information.

  Referring to FIG. 4B, the GUI 400 of FIG. 4B is displayed after the user selects the entity 411 from the recommended suggestion unit 410 of FIG. 4A. As shown, the entity 411 is removed from the recommended suggestion unit 410 and a new recommended proposal entity 416 is substituted. Also, a new subscription to entity 411 is displayed in the sidebar as subscription 435. For example, entity 411 may be added as a user subscription in accordance with the description above with respect to FIG. 1 and method 300 of FIG.

  Referring to FIG. 4C, the GUI 400 of FIG. 4C shows that the selected entities 411, 435 are used as a source for initializing the playlist displayed in the playlist section 460 after registration. ing. As shown in the figure, the playlist unit 460 includes at least one of the identifiers (eg, thumbnails and titles) of the selected and registered entities 411 and 435 and a list of content items 462 to be added to the generated playlist. Part.

  FIG. 5 is a diagrammatic representation of a machine in the exemplary form of a computer system 500 in which any one or more of the methods described herein are described. A set of instructions for execution by a machine can be executed. In alternative embodiments, the machine may be connected (eg, networked) with other machines over a LAN, intranet, extranet, or the Internet. A machine can operate in the capabilities of a server or client machine in a client-server network environment, or as a peer machine in a peer-to-peer (or distributed) network environment. The above machine is a personal computer (PC), tablet PC, set top box (STB), personal digital assistant (PDA), mobile phone, web appliance, server, network router, switch or bridge, or an action to be performed by the machine. It can be any machine that can implement the specified instructions (a series or other). Furthermore, although only one machine is shown, the term “machine” refers to a set (or sets) of instructions that cause any one or more of the methods described herein to be executed by the machine. It is understood to include any collection of machines that run alone or jointly.

  A typical computer system 500 communicates with each other via a bus 508, such as a processing device (processor) 502, main memory 504 (eg, read only memory (ROM), flash memory, synchronous DRAM (SDRAM) or Rambus). Dynamic random access memory (DRAM) such as DRAM (RDRAM), static memory 506 (eg, flash memory, static random access memory (SRAM, etc.)), and data storage device 518.

  The processor 502 represents one or more general purpose processing devices such as a microprocessor, central processing unit, and the like. More specifically, the processor 502 is a processor that implements a complex instruction set computing (CISC) microprocessor, a reduced instruction set computing (RISC) microprocessor, a very long instruction word (VLIW) microprocessor, or other instruction set. Or a processor that implements a combination of instruction sets. The processor 502 may be one or more special purpose processing devices such as an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a digital signal processor (DSP), a network processor, and the like. The processor 502 is configured to execute instructions 526 for performing the operations and steps described herein.

  The computer system 500 can further include a network interface device 522. The computer system 500 also includes a video display unit 510 (eg, a liquid crystal display (LCD), cathode ray tube (CRT), or touch screen), an alphanumeric input device 512 (eg, a keyboard), and a cursor control device 514 (eg, A mouse) and a signal generation device 520 (eg, a speaker).

  Data storage device 518 may include a computer readable recording medium 524 that stores one or more instruction sets 526 (eg, software) that embody at least one of the methods or functions described herein. . The instructions 526 may be wholly or at least partially resident in the main memory 504 and / or the processor 502 when executed by the computer system 500, and the main memory 504 and the processor 502 may be stored in a computer readable record. Configure the medium. The instructions 526 may further be transmitted or received over the network 574 via the network interface device 522.

  In one embodiment, the instructions 526 are content based on instructions for the recommendation engine 550 and the playlist generation module 555 and / or user history that can correspond to the recommendation engine 120 and the playlist generation module 130 of FIG. 1, respectively. Including a recommendation engine for generating playlists and subscriptions for a shared platform and a software library including a method for calling the playlist generation engine. Although the computer-readable recording medium 524 is illustrated as a single medium in the exemplary embodiment, the term “computer-readable recording medium” refers to a single medium that stores one or more instruction sets. Media or multiple media (eg, a centralized or distributed database, and / or associated caches and servers) should be construed. The term “computer-readable medium” refers to an instruction set that is executed by a machine to cause the machine to perform any one or more of the methods described herein, or to store, encode, or It should be construed to include any media that can be transported. Accordingly, the term “computer-readable recording medium” should be interpreted to include, but not be limited to, solid state storage devices, optical media, and magnetic media.

  Numerous details have been set forth in the foregoing description. However, it will be apparent to those skilled in the art who have the benefit of this specification that the specification may be practiced without the specific details described above. In some instances, well-known structures and devices are shown in block diagram form, rather than in detail, in order to avoid obscuring the specification.

  Some portions of the detailed description of the invention are introduced as algorithms and symbolic representations of operations on data bits in a computer storage device. These algorithmic descriptions and symbolic representations are the means used by those skilled in the data processing arts to most effectively convey the substance of their work to others skilled in the art. In general, and here, the algorithm can be thought of as a straightforward sequence of steps leading to the desired result. Steps are those requiring physical manipulation of physical quantities. Generally, though not necessarily, these quantities take the form of electrical or magnetic signals capable of being stored, transmitted, combined, compared, and otherwise manipulated. It is convenient to refer to these signals as bits, values, elements, signs, characters, terms, numbers, etc., in accordance with common usage.

  However, it should be noted that all these and similar terms should be associated with the appropriate physical quantities and are only convenient labels applied to these quantities. . Unless otherwise specified clearly from the following discussion, throughout this specification `` segmenting '', `` analyzing '', `` determining '', `` enabling '' , "Identifying", "modifying", etc., is used to describe a computer system, or similar electronic computing device, within a computer system memory or register, or other such information storage device Means an action or process that manipulates and transforms data represented by physical (eg, electronic) quantities within a transmission or display device.

  The present description also relates to an apparatus for performing the operations therein. This apparatus can be specifically configured for the required purposes, and can also comprise a general purpose computer that is selectively activated or reconfigured by a computer program stored in the computer. Such computer programs include, but are not limited to, any type of disk, including a floppy disk, optical disk, CD-ROM, magnetic optical disk, read only memory (ROM), random access memory (RAM). ), EPROM, EEPROM, magnetic card or optical card, or any type of medium suitable for storing electronic instructions.

  The word “example” or “exemplary” is used herein to mean serving as an example, instance, or illustration. Any aspect or design described as "example" or "representative" is not necessarily to be construed as preferred or advantageous over other aspects or designs. On the contrary, the use of the word “example” or “representative” was intended to introduce the concept in a concrete way. As used in this application, “or” is intended to mean an inclusive “or” rather than an exclusive “or”. That is, unless specifically stated to the contrary or apparent from the front and back, “X includes A or B” is intended to mean any natural and comprehensive permutation. That is, if X includes A, X includes B, or X includes both A and B, any of the previous examples satisfies the condition “X includes A or B”. In addition, the use of the article “a” or “an” in this specification and the appended claims is not intended to be contrary to the contrary or to indicate single from front to back. Is understood as meaning “one or more”. Further, the use of the terms “embodiment” or “one of the embodiments” or “implementation” or “one of the implementations” throughout is not intended to mean the same embodiment or practice unless stated.

  Throughout this specification, references to “embodiments” or “one of the embodiments” include in the at least one example the particular feature, structure, or characteristic described in connection with those embodiments. Means that. Thus, the various appearances of the phrases “in an embodiment” and “in one of the embodiments” are not necessarily all referring to the same embodiment. Also, the term “or” is intended to mean an inclusive “or” rather than an exclusive “or”.

  It should be understood that the above description is for purposes of illustration and not limitation. Various other embodiments will be apparent to persons skilled in the art upon reading and understanding the above description. Accordingly, the scope of the specification should be determined with reference to the appended claims, along with the full scope of equivalents to which such claims are entitled.

100 network architecture
102 network
105 client devices
107 Content sharing platform
110 Front-end server
120 recommendation engine
122 recommendation module
124 UI generation module
126 Registration Module
130 Playlist generation module
140 User data store
150 Content Data Store
160 Co-occurrence data store
500 computer system
502 processor
506 static memory
508 bus
510 video display
512 alphanumeric input device
514 Cursor control device
518 Data storage device
520 signal generation device
524 Computer-readable recording medium
526 instructions
550 recommendation engine
555 Playlist generation module
574 Network

Claims (18)

A method,
Identifying, by a processing device , a plurality of channels that the user has not registered with the content sharing platform and will be recommended to the user, the identifying step comprising: And based on content accessed by a user on a content sharing platform, said identifying step comprises:
Determining a content item viewed by the user;
Identifying other content items that are co-occurring with the content item across multiple users of the content sharing platform with respect to the content item viewed by the user;
Identifying one of the plurality of channels that includes at least a threshold number of content items of the other content items;
A step further comprising :
Generating a graphical user interface ( G UI) for the user, the G UI providing the identified channels to the user as recommended suggestions;
Receiving, via the G UI, a user- selected indication for one of the identified channels ;
Registering the user with the selected channel on the content sharing platform by the processing device ;
Generating a playlist including a plurality of content items corresponding to the selected channel by the processing device without interaction by the user ;
Transmitting via the GUI, the playlist to the user,
A method comprising the steps of: Whether the step of identifying the plurality of channels occurs in the activity history of the user exceeding a predetermined number of occurrences over a certain interval or exceeding a predetermined occurrence frequency over the certain interval The method of claim 1 , further comprising determining a channel associated with an activity history content item that satisfies at least one of the following: Wherein each of the plurality of channels, said so users can access the content sharing platform, The method of claim 1 including the content item to be uploaded prior Symbol content sharing platform. Wherein the plurality of channels The method of claim 1 including a user channel of the content sharing platform. The playlist includes a plurality of content items that stream unimpeded to a user, and the playlist includes one or more other content items that are not associated with the registered channel. The method described. The step of determining other content items with viewing co-occurrence further comprises accessing a co-occurrence data structure to identify the other content item, the data structure comprising: contains an entry for each content item, the entry method of claim 1, characterized in that it comprises a list of the other content items of the entry that has co-occurrence of view with respect to the entry. The method of claim 1, wherein the user is also a member of a social network separate from the content sharing platform, and the user's connection on the social network is used to identify the plurality of channels . A non-transitory machine-readable recording medium that stores instructions that, when executed, cause a processing device to perform an action, the action comprising:
An act of providing a graphical user interface (G UI) of the content sharing platform associated with the user, the G UI displays a plurality of channels to the user as a suggestion to be recommended, the plurality of channels, wherein users registered Orazu includes a plurality of channels that are to be recommended to the user, the plurality of channels, wherein the activity history of the current channel subscription and the user of the user on the content sharing platform The operation of providing the GUI identified based on
Determining an item of content viewed by the user;
Identifying other content items that are co-occurring with the content item across multiple users of the content sharing platform with respect to the content item viewed by the user;
Identifying one of the plurality of channels that includes at least a threshold number of content items of the other content items;
Further including an operation ;
Through the pre-Symbol G UI, the act of receiving an indication of a user selection of one of the plurality of channels that are identified,
Registering the user in the selected channel on the content sharing platform;
Generating a playlist including a plurality of content items corresponding to the selected channel by the processing device without interaction by the user ;
Via the GUI, the operation for transmitting the playlist to the user,
A non-transitory machine-readable recording medium. The non-transitory machine-readable recording medium according to claim 8 , wherein the plurality of channels include at least one of a user channel of the content sharing platform or a topic channel of the content sharing platform. The act of determining other content items with viewing co-occurrence further comprises accessing a co-occurrence data structure to identify the other content item, the data structure comprising: 9. The non-transitory machine of claim 8 , comprising an entry for each content item, the entry further comprising a list of the other content items of the entry that have a viewing co-occurrence for the entry. A readable recording medium. 9. The non-transitory of claim 8 , wherein the user is also a member of a social network separately from the content sharing platform, and the user's connection on the social network is used to identify the plurality of channels. Machine-readable recording medium. The playlist includes a plurality of content items that are streamed unimpeded to a user, and the playlist includes one or more of the other content items not associated with the registered channel. A non-transitory machine-readable recording medium according to claim 8 . A system,
A processing device ;
A storage device for storing content items multiple,
Comprising
Wherein the processing device is coupled to said storage device, said processing device includes a recommendation engine from the storage device,
An act of identifying a plurality of channels to become the user in the content sharing platform is recommended to register Orazu, the user, the identifying operation,
Determining an item of content viewed by the user;
Identifying other content items that are co-occurring with the content item across multiple users of the content sharing platform with respect to the content item viewed by the user;
Identifying one of the plurality of channels that includes at least a threshold number of content items of the other content items;
Further including an operation ;
An act of generating a graphical user interface ( G UI) for the user, the G UI providing the user with the identified plurality of channels as recommended suggestions ;
Through the pre-Symbol G UI, the act of receiving an indication of a user selection of one of the plurality of channels that are identified,
Registering the user in the selected channel on the content sharing platform;
Generating a playlist including a plurality of content items corresponding to the selected channel without interaction by the user ;
Via the GUI, the operation for transmitting the playlist to the user,
Running system. Wherein each of the plurality of channels, the system of claim 13 including said so users can access the content sharing platform, content items are uploaded before Symbol content sharing platform. The processing device for determining other content items with viewing co-occurrence further comprises accessing a co-occurrence data structure to identify the other content item, the data structure comprising the content sharing platform 14. The system of claim 13 , including an entry for each of said content items, said entry further comprising a list of said other content items of said entry that have a viewing co-occurrence for said entry. The method of claim 1, wherein the plurality of channels include topic channels of the content sharing platform. The non-transitory machine-readable recording medium according to claim 8, wherein each of the plurality of channels includes a content item uploaded to the content sharing platform so that the user of the content sharing platform can access the channel. The system of claim 13, wherein the plurality of channels include at least one of a user channel of the content sharing platform or a topic channel of the content sharing platform.

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